Výsledky vyhledávání - "Cancer modeling"

Development of a 3D Human Colon Model Along with Bioelectronics for the Induction and Monitoring of Diseases

Autoři: Jorge Alfonso Tavares‐Negrete Sahar Najafikoshnoo Anita Ghandehari a další

Zdroj: Advanced Science, Vol 12, Iss 45, Pp n/a-n/a (2025)

Témata: 3D colon human model, colorectal cancer modeling, in vivo mimicking, non‐animal model, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2198-3844

Přístupová URL adresa: https://doaj.org/article/03159a90b6494d3e869bdca9c2219b7d

Local Controllability Analysis for a Tumor Dynamics Model

Autoři: Francis Felix Cordova Puma

Zdroj: Semina: Ciências Exatas e Tecnológicas, Vol 46 (2025)

Témata: cancer modeling, controllability theory, Kalman rank condition, mathematical oncology, Technology (General), T1-995, Science (General), Q1-390

Popis souboru: electronic resource

Relation: https://ojs.uel.br/revistas/uel/index.php/semexatas/article/view/53579; https://doaj.org/toc/1676-5451; https://doaj.org/toc/1679-0375

Přístupová URL adresa: https://doaj.org/article/e911344a354d45d0aa83dda540a20daa

Mathematical Modeling of Cancer Progression

Autoři: Tahmineh Azizi

Zdroj: AppliedMath, Vol 4, Iss 3, Pp 1065-1079 (2024)

Témata: tumor growth, QA1-939, metastasis, cancer modeling, personalized medicine, immunotherapy, mathematical oncology, Mathematics

Přístupová URL adresa: https://doaj.org/article/99c093ebbdd14b0883a758da9cfac3b5

Exploring the in silico adaptation of the Nephroblastoma Oncosimulator to MRI scans, treatment data, and histological profiles of patients from different risk groups

Autoři: Marcel Meyerheim Foteini Panagiotidou Eleni Georgiadi a další

Zdroj: Front Physiol
Frontiers in Physiology, Vol 16 (2025)

Témata: ddc:610, clinical adaptation, Physiology, in silico medicine, decision-support system, QP1-981, multiscale cancer modeling, Nephroblastoma Oncosimulator

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40313874
https://doaj.org/article/f66c1e7270e54f51aa1c989808a677c9

A mathematical model to the melanoma dynamics involving CAR T-cells: A mathematical model to the melanoma dynamics involving car T-cells

Autoři: Guilherme Rodrigues Jairo G. Silva Mostafa Adimy a další

Přispěvatelé: Guilherme Rodrigues Jairo G. Silva Mostafa Adimy a další

Zdroj: Computational and Applied Mathematics. 44

Témata: [SDV]Life Sciences [q-bio], [MATH] Mathematics [math], stability analysis, Cancer modeling, tumor-associated macrophages (TAMs), Stability theory for ordinary differential equations, [SDV] Life Sciences [q-bio], Population dynamics (general), sensitivity analysis, Mathematical biology in general, Immunotherapy, immunotherapy, cancer modeling, [MATH]Mathematics [math], Sensitivity analysis, Stability analysis of ODE, Tumor-Associated Macrophages (TAMs), General biology and biomathematics

Popis souboru: application/xml; application/pdf

Přístupová URL adresa: https://zbmath.org/8034158
https://doi.org/10.1007/s40314-024-03060-3

Bioengineering 3D Pancreatic Cancer Models with Fibrotic Stroma for In Vitro Cancer Modeling

Autoři: Xingrun Lan Keke Chen Xiaoyun Wei

Zdroj: Micromachines, Vol 16, Iss 10, p 1140 (2025)

Témata: 3D PDAC model, bioengineering, fibrotic stroma, cancer modeling, Mechanical engineering and machinery, TJ1-1570

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2072-666X/16/10/1140; https://doaj.org/toc/2072-666X

Přístupová URL adresa: https://doaj.org/article/f9ea6daee76a42f79fd42f38d76cbb31

Tumor-microenvironment-on-a-chip: the construction and application

Autoři: Hanzheng Xu Jiangtao Wen Jiahua Yang a další

Zdroj: Cell Communication and Signaling, Vol 22, Iss 1, Pp 1-22 (2024)

Témata: Tumor microenvironment, Microfluidics, Tumor chip, Cancer modeling, In vitro models, Medicine, Cytology, QH573-671

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1478-811X

Přístupová URL adresa: https://doaj.org/article/913a15599bf24968bfde9d2b71b8331d

Exploring the in silico adaptation of the Nephroblastoma Oncosimulator to MRI scans, treatment data, and histological profiles of patients from different risk groups

Autoři: Meyerheim, Marcel Panagiotidou, Foteini Georgiadi, Eleni a další

Témata: ddc:610, multiscale cancer modeling, in silico medicine, clinical adaptation, decision-support system, Nephroblastoma Oncosimulator

Relation: hdl:20.500.11880/40589

Dostupnost: http://nbn-resolving.org/urn:nbn:de:bsz:291--ds-463106
https://doi.org/10.22028/D291-46310
https://doi.org/10.3389/fphys.2025.1465631

Mathematical Modelling of Cancer Treatments, Resistance, Optimization

Autoři: Tahmineh Azizi

Zdroj: AppliedMath ; Volume 5 ; Issue 2 ; Pages: 40

Témata: mathematical oncology, cancer modeling, treatment resistance, personalized medicine, optimization techniques, clinical trials

Popis souboru: application/pdf

Relation: https://dx.doi.org/10.3390/appliedmath5020040

Dostupnost: https://doi.org/10.3390/appliedmath5020040

Endogenous spacing enables co-processing of microRNAs and efficient combinatorial RNAi

Autoři: Amen, Alexandra M Loughran, Ryan M Huang, Chun-Hao a další

Zdroj: Cell Reports Methods. 2(7)

Témata: Medicinal and Biomolecular Chemistry, Chemical Sciences, Genetics, Cancer, Rare Diseases, Neurosciences, Biotechnology, RNA interference, RNAi, cancer modeling, combinatorial target inhibition, gene regulation, microRNA, target discovery, target validation, viral vectors

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/0cg0358f
https://escholarship.org/content/qt0cg0358f/qt0cg0358f.pdf

A Chaos-Driven Fractional ψ–Hamzah Model for Targeted Elimination of Pancreatic Cancer Stem Cells (CSCs) via Nano-Liposomal Drug–Vaccine Conjugates

Autoři: JALALI, SEYED RASOUL

Témata: ψ–Hamzah model, pancreatic ductal adenocarcinoma, PDAC therapy, pancreatic cancer stem cells, CSC targeting, tumor microenvironment modeling, KRAS G12D mutation therapy, TP53 mutation pathways, TGF-β signaling alteration, fibroblast-rich stroma resistance, tumor heterogeneity, metastasis modeling, fractional calculus in oncology, Caputo derivative in tumor modeling, fractional-order pharmacokinetics, fractal tumor geometry, chaotic immune–tumor interaction, non-linear cancer dynamics, Gompertz model limitations, logistic tumor model, immune suppression modeling, tumor–immune tensor field, stromal–vascular microenvironment, cancer stem cell relapse, tumor recurrence prevention, drug resistance modeling, nanovaccine design, MUC1-Tn glycopeptide antigen, KRAS^G12D mutant epitope vaccine, mesothelin peptide vaccine, CpG ODN adjuvant, MPLA adjuvant durability, PLGA nanoparticle carriers, w/o/w double emulsion method, nanoparticle encapsulation efficiency, nanoparticle zeta potential, DLS particle size analysis, immune durability T-cell response, IgG antibody formation, systemic immunological memory, vaccine stability, injection-site inflammation, absence of anaphylaxis, apoptosis induction in CSCs, tumor inhibition percentages, long-term immune durability, nano-liposomal drug delivery, Hamzah-CSC Inhibitor (HCI-1), Wnt/β-catenin pathway inhibition, GAPDH metabolic blocking, glucose depletion therapy, NAD⁺ metabolism suppression, nicotinamide mononucleotide (NMN), PEGylated liposomal carriers, liposomal encapsulation process, liposomal pharmacokinetics, plasma half-life measurement, ECM penetration efficiency, CD133+ CSC marker targeting, biliary clearance safety, liposomal drug stability, lyophilization preservation, CSC apoptosis assays, Panc-1 CSC+ experimental validation, Annexin-V apoptosis measurement, IFN-γ secretion, IL-2 immune stimulation, cytokine release safety, multi-compartment PK models, fractional pharmacodynamics, Grünwald–Letnikov derivative, variable-order fractional calculus, chaotic tumor modeling, non-deterministic drug distribution, receptor binding kinetics, Michaelis–Menten clearance pathways, immune checkpoint resistance, immune feedback oscillations, tumor hypoxia modeling, fibrotic pressure dynamics, angiogenesis suppression, metastatic pattern remapping, fractal immune simulation, tensorial tumor analysis, fractional fractal immune stimulation, computational oncology, systems pharmacology, bioinformatics integration, pharmacogenomic modeling, in silico cancer modeling, mathematical oncology frameworks, tumor–drug–immunity integration, adaptive CSC modeling, chaos-stability tumor modeling, immune escape prevention, apoptosis without recurrence, nano-vaccine industrial synthesis, multiphase microfluidic bioreactors, PDMS anti-adhesive coating, laminar–chaotic convection control, precision nitrogen/oxygen gas flow, thermal loop heating, fractal-chaotic order ψ parameterization, CSC protein fractional derivative modeling, nanoparticle antigen conjugation, gold nanoparticle vaccines, maleimide–thiol chemical conjugation, antigen attachment conditions, storage stability in low RH, ultrafiltration nanoparticle purification, industrial scale-up protocols, pharmacological safety standards, EMA/FDA fast-track potential, WHO therapeutic guidelines, legal intellectual property protection, Creative Commons licensing, Zenodo registration, ScienceOpen registration, ORCID author profile, patient-specific tumor modeling, personalized oncology approaches, computational immunology, nanomedicine engineering, regenerative oncology, mathematical immune system modeling, chaos-driven tumor suppression, fractional memory-driven pharmacology, spatiotemporal tumor simulations, computational biophysics, immune checkpoint integration, advanced drug design, targeted immunotherapy, bioengineering cancer therapies, nanobiological oncology, therapeutic innovation pathways, oncological chaos modeling, CSC eradication without relapse, systemic immune activation, integrated therapy frameworks, vaccine–drug dual therapy, resistant PDAC solutions, multi-scale therapeutic optimization, quantum-inspired cancer modeling, fractal nanomedicine design, adaptive therapeutic dynamics, clinical translation of fractional models, chaos-based drug design, tumor eradication predictions, resistant pancreatic cancer cure strategies, apoptosis-driven remission, mathematical proof-of-concept oncology, high-fidelity simulation frameworks, long-term CSC suppression, translational oncology research, precision medicine in PDAC, computational chaos-based pharmacology, CSC relapse prevention, nanocarrier engineering, immune cell infiltration modeling, lymphocyte activation mapping, macrophage modulation, Treg suppression modeling, fractal dimension tumor pathways, CSC metabolic adaptability, apoptosis probability modeling, CSC niche targeting, fibroblast suppression, matrix remodeling therapy, tumor vascular normalization, PDAC drug synergy, pharmacological fractal engineering, experimental nanomedicine validation, chaotic immune response synchronization, CSC elimination strategies, biocompatible therapeutic systems, advanced oncology simulation, fractional systems biology, CSC resilience dismantling, universal ψ–Hamzah cancer framework

Toward Practical Integration of Omic and Imaging Data in Co-Clinical Trials

Autoři: Emel Alkim Heidi Dowst Julie DiCarlo a další

Zdroj: Tomography
Tomography, Vol 9, Iss 2, Pp 810-828 (2023)

Témata: Medical Sciences, magnetic resonance imaging (MRI), Image Processing, Computer applications to medicine. Medical informatics, R858-859.7, cancer informatics, Triple Negative Breast Neoplasms, Biomedical Informatics, Computer-Assisted, breast cancer, Medical Specialties, Medicine and Health Sciences, Image Processing, Computer-Assisted, and Immunity, Humans, Biological Phenomena, Cell Phenomena, Life Sciences, Obstetrics and Gynecology, Concept Paper, multi-omics, Magnetic Resonance Imaging, 3. Good health, Medical Cell Biology, Oncology, Medical Microbiology, radiomics, Medical Molecular Biology, cancer modeling

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/37104137
https://doaj.org/article/e0d87f8b7a8e4f92951123a867d724ef

Leveraging Bell Polynomial Expansions for Cancer Growth Modeling: A Conceptual Framework

Autoři: Eric R. Lawson

Témata: Bell Polynomials, Generating Functions, Combinatorics, Polynomial Expansions, Higher-Order Interactions, Cancer Modeling, Tumor Evolution, Clonal Dynamics, Cancer Genomics, Mutation Dependencies, Systems Biology, Computational Oncology, Stochastic Models, Epistasis, Evolutionary Dynamics, Mathematical Oncology, Theoretical Biology, Quantitative Cancer Research, Interdisciplinary Modeling, Open Science, Conceptual Framework, GitHub Collaboration, Modeling Framework, Nonlinear Dynamics

Relation: https://zenodo.org/records/15577629; oai:zenodo.org:15577629; https://doi.org/10.5281/zenodo.15577629

Dostupnost: https://doi.org/10.5281/zenodo.15577629
https://zenodo.org/records/15577629

OCT-CANCER v2.4: Ontological Conflict Theory and the Nature of Cancer

Autoři: Ednyashev, Sanal

Témata: Ontological Conflict Theory, OCT-CANCER, μ(S,Q), structural misalignment, cancer modeling, biological conflict, epigenetic regulation, μ-trajectories, computational pathology, homeostatic disruption, Ednyashev

Relation: https://zenodo.org/records/15518596; oai:zenodo.org:15518596; https://doi.org/10.5281/zenodo.15518596

Dostupnost: https://doi.org/10.5281/zenodo.15518596
https://zenodo.org/records/15518596

Organoids as a new approach for improving pediatric cancer research

Autoři: Silvia Lampis Angela Galardi Virginia Di Paolo a další

Zdroj: Front Oncol
Frontiers in Oncology, Vol 14 (2024)

Témata: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences, Oncology, precision medicine, 3D models, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, cancer modeling, tumor organoids, RC254-282, pediatric cancer, 3. Good health

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38835365
https://doaj.org/article/b43a30da78064a66942a4786b857fcc8

Complete reconstruction of the severed spinal cord (restoration of movement and sensation in paralysed patients) via the Hamzah Model

Autoři: JALALI, SEYED RASOUL

Témata: spinal cord regeneration, neural repair, axonal regrowth, myelin restoration, synaptic reconnection, sensorimotor recovery, central nervous system, Hamzah Equation, HENRS, quantum neuroscience, multiscale modeling, multidimensional modeling, neuroengineering, neural stimulation, bioinformatics, proteomics, genomics, cellular regeneration, tissue regeneration, motor function, sensory function, clinical prediction, regenerative medicine, neuroplasticity, electrophysiology, MRI analysis, fMRI, DTI imaging, computational neuroscience, predictive algorithms, quantum optimization, neural oscillations, axon guidance, stem cell therapy, neuronal network reconstruction, synapse formation, myelin sheath repair, microelectrode stimulation, neuroprosthetics, signal conduction, axonal transport, computational modeling, high-dimensional simulations, AI-assisted regeneration, bioengineering, neurorehabilitation, cellular dynamics, molecular neuroscience, neuroimmunology, neurogenesis, neurotrophic factors, neurochemical analysis, spinal cord injury, neuroregeneration, motor cortex recovery, sensory cortex recovery, action potential restoration, nerve conduction velocity, neural network plasticity, clinical trials, translational neuroscience, multivariate analysis, statistical validation, t-test analysis, ANOVA, confidence interval, success rate, reproducibility, regenerative therapy, pharmaceutical intervention, anti-cancer vaccine, anti-cancer medicine, Hamzah anti-cancer therapy, side-effect minimization, 3D neural modeling, neural field equations, PDE modeling, differential equations, neural simulations, bioelectric signaling, neuroelectrical modulation, microfluidic modeling, neuroprosthetic integration, virtual reconstruction, computational biology, quantum field theory, neuroquantum dynamics, signal propagation, molecular interactions, neurotransmitter regulation, axon remyelination, neurophysiological metrics, clinical efficacy, therapeutic simulation, patient-specific modeling, intercellular communication, neural tissue engineering, functional recovery, spinal cord microenvironment, regenerative scaffold, biomaterial optimization, neurochemical signaling, synaptic plasticity, electrophysiological mapping, neurogenomic integration, stem cell differentiation, cytokine modulation, inflammatory response, glial scar reduction, central pattern generator, spinal reflex restoration, neurorehabilitative robotics, AI prediction models, pharmacokinetics, pharmacodynamics, personalized medicine, disease modelling, computational pharmacology, multiscale simulation framework, neural connectivity, network topology, neuroinformatics, high-throughput analysis, molecular dynamics, protein folding, gene expression analysis, neuron-glia interaction, action potential dynamics, ion channel modulation, neural excitability, synaptic efficacy, Hebbian plasticity, long-term potentiation, long-term depression, neurofeedback, electrophysiological stimulation, neurochemical gradients, axonal transport mechanisms, synaptic vesicle trafficking, neural progenitor cells, oligodendrocyte proliferation, astrocyte regulation, neurovascular coupling, cerebral blood flow, neuroprotection, neurodegeneration prevention, neuroimmune crosstalk, oxidative stress reduction, mitochondrial function, intracellular signaling pathways, calcium dynamics, neurotransmission efficiency, neurohormonal regulation, spinal cord microcirculation, glial modulation, CNS inflammation control, cytokine signaling pathways, apoptotic regulation, necroptosis inhibition, neural survival factors, neurotrophic support, BDNF modulation, NGF therapy, neurotrophin delivery, targeted molecular therapy, nanomedicine in neuroscience, bioelectronic medicine, neural interface design, neurostimulation protocol, multi-electrode arrays, computational fluid dynamics in CNS, tissue scaffolding, hydrogel scaffolds, 3D bioprinting, axon alignment, gradient-guided regeneration, biohybrid systems, neuro-robotic feedback, cortical reorganization, spinal reflex circuits, locomotor recovery, sensory integration, proprioception restoration, pain modulation, neuropathic pain management, neurocircuit mapping, connectomics, high-resolution imaging, diffusion tensor tractography, synaptic connectivity mapping, neural network reconstruction, in vivo modeling, ex vivo analysis, preclinical studies, animal models, human clinical trials, translational medicine, therapy optimization, regenerative protocols, personalized neurotherapy, pharmacogenomics, drug resistance, tumor microenvironment, anti-cancer modeling, cancer immunotherapy, oncology, tumor suppression, therapeutic vaccines, targeted therapy, immunomodulation, immune checkpoint therapy, cytokine storm control, cellular metabolism, oxidative phosphorylation, anaerobic metabolism, reactive oxygen species, free radical scavenging, antioxidant therapy, DNA repair mechanisms, epigenetic modulation, gene therapy, CRISPR gene editing, RNA interference, transcriptional regulation, signal transduction, kinase pathways, phosphatase modulation, protein-protein interactions, proteostasis, ubiquitin-proteasome system, autophagy regulation, cellular senescence, apoptosis modulation, necroptosis, ferroptosis, neuro-oncology, tumour regression, cancer stem cells, tumour heterogeneity, chemoresistance, radiosensitivity, microRNA therapy, exosome therapy, nanocarrier drug delivery, targeted nanoparticles, liposomal delivery, blood-brain barrier penetration, CNS-targeted therapy, pharmacological modeling, drug kinetics, pharmacodynamics, multi-drug combinations, side-effect minimization, adverse event monitoring, immunogenicity assessment, cellular toxicity, biomarker identification, predictive analytics, AI-assisted diagnostics, machine learning models, deep learning in medicine, neural network training, data augmentation, virtual clinical trials, digital twin modeling, multiscale optimization, bioinformatic pipelines, high-dimensional datasets, omics integration, proteomic profiling, metabolomics, transcriptomics, epigenomics, systems biology, network pharmacology, pathway analysis, signalling cascades, computational genomics, genetic variation analysis, SNP modeling, polygenic risk scoring, GWAS studies, pharmacogenetic profiling, precision oncology, precision neurotherapy, AI-assisted image analysis, MRI segmentation, fMRI connectivity, diffusion imaging, tractography, neural circuit reconstruction, brain-computer interfaces, neuroprosthetic integration, sensory-motor coordination, motor learning, rehabilitation engineering, neuroergonomics, adaptive algorithms, closed-loop control, neurofeedback, cognitive restoration, learning paradigms, memory consolidation, synaptic reinforcement, Hebbian learning, spike-timing dependent plasticity, neural coding, rate coding, population coding, oscillatory dynamics, coherent neural activity, phase synchronization, network resonance, chaos in neural networks, attractor states, dynamical systems analysis, stability analysis, bifurcation theory, Lyapunov exponents, fractal neural dynamics, multi-scale entropy, complexity measures, information theory in CNS, Shannon entropy, mutual information, predictive modeling, uncertainty quantification, risk assessment, scenario planning, virtual patient modeling, digital twin CNS, one-trillion-scenario simulation, future-proof therapy, contingency analysis, mutation resilience, adaptive regenerative therapy, anti-cancer resilience, Hamzah vaccine efficacy, Hamzah medicine efficacy, zero side effects, maximal therapeutic benefit, reproducibility, scientific validation, evidence-based neurotherapy, peer-reviewed methodology, intellectual property protection, patent rights, innovation rights, translational research, international compliance, bioethical standards, medical safety, clinical risk mitigation, global health impact, therapeutic breakthrough, paradigm-shifting neuroscience, next-generation regenerative medicine, universal applicability, multi-dimensional optimization, full CNS regeneration, sensorimotor integration, cognitive and emotional restoration, complete neurorehabilitation, life-changing therapy, advanced Hamzah Equation modeling, unified computational framework, one-trillion scenario validation, cutting-edge technology, pioneering neuroengineering, transformative clinical potential

Breast cancer brain metastasis: from etiology to state-of-the-art modeling

Autoři: Mohammad Kamalabadi Farahani Maliheh Gharibshahian Alireza Rezvani a další

Zdroj: Journal of Biological Engineering, Vol 17, Iss 1, Pp 1-26 (2023)

Témata: Brain metastasis, Breast cancer, Tissue engineering, Scaffold, Cancer modeling, Cancer cell lines, Biology (General), QH301-705.5

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1754-1611

Přístupová URL adresa: https://doaj.org/article/24368c89e1844e1daf75a3230da2b78c

Spatial mutation patterns as markers of early colorectal tumor cell mobility

Autoři: Ryser, Marc D. Min, Byung-Hoon Siegmund, Kimberly D. a další

Zdroj: Proceedings of the National Academy of Sciences of the United States of America, 2018 May . 115(22), 5774-5779.

Přístupová URL adresa: https://www.jstor.org/stable/26509930

Deep learning-based approach in surface thermography for inverse estimation of breast tumor size

Autoři: Zakaryae Khomsi Mohamed Elfezazi Larbi Bellarbi

Zdroj: Scientific African, Vol 23, Iss , Pp e01987- (2024)

Témata: Inverse bio-heat problem, Breast cancer modeling, Synthetic data, Tumor prediction, Medical decision-making, Finite Element Method (FEM), Science

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2468227623004416; https://doaj.org/toc/2468-2276

Přístupová URL adresa: https://doaj.org/article/b5e4a843892f46448c981499b3646f21

Radiation Therapy for Stage IIA/B Seminoma: Modeling Secondary Cancer Risk for Protons and VMAT versus 3D Photons

Autoři: Jennifer Pursley Kyla Remillard Nicolas Depauw a další

Zdroj: Cancers, Vol 16, Iss 4, p 784 (2024)

Témata: testicular seminoma, proton therapy, secondary cancer modeling, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

Relation: https://www.mdpi.com/2072-6694/16/4/784; https://doaj.org/toc/2072-6694; https://doaj.org/article/c49ec5b5eaab483d974e7e581401296f

Dostupnost: https://doi.org/10.3390/cancers16040784
https://doaj.org/article/c49ec5b5eaab483d974e7e581401296f